Table 1.
Parameters | Values |
---|---|
IPD-Meta-analyses generated: | M = 1000 |
(Number of studies, number of subjects per study, total average sample sizes)b: | (K, n i, N) ∈ {(5,100,500), (15,33,500), (15,200,3000), (5,357,500), (15,98,500), (15,588,3000)} |
Fixed effects (intercepts): | β 0 = − 0.85 |
Prevalence of the outcome | π = 30% |
Fixed effects (Slopes): | β 1 = 0.18 |
Random effects distribution: | Normal |
Random effects variances: | {τ 20, τ 21} ∈ (0.05, 1, 4) |
Correlation between random effects: | ρ ∈ (0,0.5) |
aIn a sensitivity analysis, we extended the number of studies to 50 with an average sample size of 9000 and reduced the prevalence of the outcome to 5%. The prevalence of the outcome was fixed to 30% by setting the value of the intercept β 0 to –0.85
bThe number of subjects per study was reported for only large studies when data sets were generated with imbalanced study sizes (bold text: 25% large studies-10 times more subjects)